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πŸš€ Sundays Lab #3 - When AI becomes a collective playground

on April 20, 2026

On Sunday, April 19, 2026, at Hexa (eFounders) in Paris, a new edition of Sundays Lab was held. A seemingly simple format: coworking, AI workshop, exchange session.

But in practice: πŸ‘‰ a concrete demonstration of what the builder ecosystem will become in 2026.

βš™οΈ A paradigm shift: from conference to interactive system

The first strong signal of the event is not technical.

This is the format.

We are no longer sure:

  • top-down talks
  • β€œInspiring” speakers

We are on:

  • a real-time construction
  • an ongoing interaction**
  • a system where the audience becomes a co-creator

β€œWe didn’t want a traditional workshop. We wanted everyone to participate.”

Here's a section ready to integrate into your Darkwood article πŸ‘‡

πŸ§‘β€πŸš€ Speakers & Participants - Projects and Signals

πŸ‘€ Pato - AI & Automated Go-To-Market

As the founder of Cluently, he embodies the β€œbuilder + sales” profile. His presentation shows how AI can replace entire business functions (prospecting, matching, CRM).

πŸ‘‰ Project presented:

  • AI agent for automated prospecting
  • Intelligent matching between profiles / opportunities
  • Build Society community app generated live

πŸ‘‰ Key signal:

The future of SaaS = agent + distribution, not just product

πŸ‘€ Jules - Growth & Creative AI

Founder of Loops, focused on performance marketing.

πŸ‘‰ Project:

  • SaaS for generating high-performing ads
  • Focus on creativity as the main driver of growth

πŸ‘‰ Insight:

  • Growth no longer comes from targeting
  • but large-scale content creation via AI

πŸ‘€ Tom - Personal branding & distribution

Content creator (philosophy + tech), rapid growth on Instagram.

πŸ‘‰ Positioning:

  • Build an audience before a product
  • Transforming complex ideas into viral content

πŸ‘‰ Insight:

Distribution is becoming a stronger asset than tech.

πŸ‘€ Lucas Lefner - Startup advisory & network

Provides support to early-stage startups (strategy, sales, equity).

πŸ‘‰ Model:

  • support in exchange for equity or mission
  • creation of a business club (Startup Hunters)

πŸ‘‰ Key insight:

β€œ90% of business is networking”

πŸ‘‰ Signal:

  • return of network-driven business
  • Importance of private circles / clubs

πŸ‘€ Enzo - Iomaris

Real estate startup (beta phase).

πŸ‘‰ Product:

  • Platform for managing a real estate project from start to finish
  • Profitability analysis, taxation, market
  • collaboration between individuals and professionals

πŸ‘‰ Business model:

  • Free for individuals
  • Monetization via professionals (leads)

πŸ‘‰ Insight:

  • extreme simplification of a complex domain via AI
  • trend β€œvertically integrated business assistant”

πŸ‘€ Eli - Gamified Education App

Student (HEC), project focused on academic productivity.

πŸ‘‰ Product:

  • collaborative work app
  • Strava-type logic applied to the study
  • comparison between students / classes

πŸ‘‰ Insight:

  • gamification + social = strong engagement lever
  • β€œpublic progress tracking” logic

πŸ‘€ Romain - Automated Pentest with AI

Profile not an expert in cybersecurity.

πŸ‘‰ Product:

  • Automated penetration testing service via AI
  • Use of scripts + LLM to detect vulnerabilities

πŸ‘‰ Model:

  • one-off service (audit)
  • no ongoing maintenance

πŸ‘‰ Key insight:

AI makes it possible to create expert services without initial expertise.

πŸ‘‰ Signal:

  • explosion of AI-augmented agencies

πŸ‘€ Laurent (Startup Hunters) - Ecosystem & Support

Supports startups and young entrepreneurs.

πŸ‘‰ Activity:

  • business structuring
  • Connecting investors and founders

πŸ‘‰ Insight:

  • Lack of operational support for early founders
  • growing need for on-the-ground guidance

πŸ‘€ GEO Project (AI Search Optimization)

E-commerce consultant / Advanced SEO.

πŸ‘‰ Product:

  • optimization tool to appear in LLM responses
  • alternative to traditional SEO

πŸ‘‰ Function:

  • analysis of the sources used by AI
  • Content optimization + ecosystem

πŸ‘‰ Key insight:

AI traffic will surpass traditional SEO

πŸ‘€ Social Matching Project (anonymous)

Next generation social network concept.

πŸ‘‰ Product:

  • Weekly matching based on deep interests
  • No profile, no swipe
  • authentic interaction

πŸ‘‰ Insight:

  • reaction to the saturation of social networks
  • back to qualitative interactions

🧭 Overall reading

These profiles show a clear convergence:

1. All projects use AI

But at different levels:

  • Automation (sales, penetration testing)
  • product (ads, real estate)
  • distribution (content, GEO)

2. The technical barrier disappears

➑️ Everyone can build ➑️ so the difference lies elsewhere

3. The real weapons become:

  • network
  • distribution
  • branding
  • niche

In concrete terms:

  • an app generated live
  • decisions made via vote
  • a product built in front of the audience

πŸ‘‰ The event itself becomes a product prototype.

πŸ€– AI is no longer a tool, it's a production interface

The workshop highlighted a key point:

πŸ‘‰ Software creation is now iterative, public, and assisted.

A concrete example observed:

  • app scenario generation
  • code generation with LLM (Claude)
  • Automatic error correction
  • near-immediate deployment (Cloudflare)

β€œClaude generates the code, corrects his errors, and we build the app as we go.”

What it actually changes

Before :

  • design β†’ dev β†’ test β†’ deploy

NOW :

  • intention β†’ generation β†’ feedback β†’ correction

πŸ‘‰ The cycle becomes continuous and conversational.

🧠 The real issue: distribution > technology

One point came up several times during the exchange session:

πŸ‘‰ Technology is no longer the barrier to entry.

What remains difficult:

  • find customers
  • distribute a product
  • create an audience

β€œCode is becoming commoditized. The real barrier is distribution.”

Direct consequence

We observe a shift:

| Before | Now | | ----------------- | ----------------------- | | Build a product | Build an audience | | Optimize tech | Optimize acquisition | | Be a developer | Be a full operator |

πŸ“ˆ Acquisition: Organized Chaos

The discussions highlighted a reality:

πŸ‘‰ There is no longer a single dominant channel.

Canals mentioned

  • LinkedIn (B2B, decision-makers)
  • Instagram (creation + virality)
  • Twitter/X (monitoring + opportunities)
  • Email (still extremely effective)

Key Insight

πŸ‘‰ Efficiency comes from:

  • repetition
  • multi-channel presence
  • the transformation of content into multiple formats

β€œA video β†’ shorts β†’ reels β†’ LinkedIn post β†’ newsletter”

🧩 The emergence of β€œhybrid builders”

One profile keeps recurring:

πŸ‘‰ people not technically expert β†’ capable of creating products using AI

A striking example:

  • creation of an automated penetration testing service
  • without advanced cybersecurity expertise
  • based on tool orchestration + LLM

β€œI don’t have strong technical skills, but it works.”

🧠 The underlying problem: cognitive overload

Everyone shares the same feeling:

πŸ‘‰ AI is going too fast

Symptoms :

  • permanent FOMO
  • too many tools
  • too many new things

Observed response:

πŸ‘‰ Return to:

  • Task structuring (SOP)
  • simplification
  • focus

β€œWrite down your tasks one by one, then see what AI can optimize.”

🧬 AI amplifies… but does not replace

A central question was raised:

πŸ‘‰ Will AI kill products?

Overall response from the group:

❌ No βœ… It filters

What disappears

  • low-quality products
  • SaaS without distribution
  • worthless clones

What remains

  • branding
  • network
  • human relationship

β€œAI amplifies both the good and the bad.”

🌐 Towards a new layer: GEO (AI Search)

An advanced topic has emerged:

πŸ‘‰ GEO (Generative Engine Optimization)

Objective :

  • appear in LLM responses (ChatGPT, etc.)
  • not just in Google

Figures mentioned:

  • 18x growth in AI traffic
  • 4x conversion on this traffic

β€œUsers coming from ChatGPT convert 4x more.”

πŸ‘‰ This is probably the equivalent of SEO… AI version.

🀝 The heart of the model: connecting people

The product built during the event is revealing:

πŸ‘‰ a matching app for participants

Aim :

  • Connect problems ↔ solutions
  • create real synergies

β€œMatching problems with solutions.”

🧭 Darkwood Reading

This meetup confirms several major trends:

1. The technical stack becomes secondary

Symfony, Node, etc. β†’ important But more differentiating on its own

2. Orchestration becomes key

What you do with Flow β†’ totally aligned

πŸ‘‰ Connect:

  • data
  • agents
  • workflows

3. The product = system + distribution

Not just code

4. The future is hybrid

  • AI β†’ execution
  • human β†’ direction

⚑ Conclusion

Sundays Lab #3 is not a meetup. This is a prototype of what the tech ecosystem is becoming.

πŸ‘‰ A space where:

  • on build live
  • we learn by doing
  • we connect in real time

And most importantly:

πŸ‘‰ where the real skill is no longer coding but to transform an intention into a functional system.

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